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WO2008116767A2 - Appareil de classification de déplacement - Google Patents

Appareil de classification de déplacement Download PDF

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Publication number
WO2008116767A2
WO2008116767A2 PCT/EP2008/053126 EP2008053126W WO2008116767A2 WO 2008116767 A2 WO2008116767 A2 WO 2008116767A2 EP 2008053126 W EP2008053126 W EP 2008053126W WO 2008116767 A2 WO2008116767 A2 WO 2008116767A2
Authority
WO
WIPO (PCT)
Prior art keywords
motion
classification device
accordance
signals
processing means
Prior art date
Application number
PCT/EP2008/053126
Other languages
English (en)
Other versions
WO2008116767A3 (fr
Inventor
Edward Stansfield
Original Assignee
Thales Holdings Uk Plc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Thales Holdings Uk Plc filed Critical Thales Holdings Uk Plc
Priority to US12/521,378 priority Critical patent/US20100171628A1/en
Publication of WO2008116767A2 publication Critical patent/WO2008116767A2/fr
Publication of WO2008116767A3 publication Critical patent/WO2008116767A3/fr
Priority to US14/069,274 priority patent/US20140058701A1/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P1/00—Details of instruments
    • G01P1/06—Indicating or recording devices, e.g. for remote indication
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/02—Mechanical actuation
    • G08B13/14—Mechanical actuation by lifting or attempted removal of hand-portable articles
    • G08B13/1436—Mechanical actuation by lifting or attempted removal of hand-portable articles with motion detection
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00—Indicating or recording presence, absence, or direction, of movement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10T—TECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
    • Y10T29/00—Metal working
    • Y10T29/49—Method of mechanical manufacture
    • Y10T29/49764—Method of mechanical manufacture with testing or indicating
    • Y10T29/49771—Quantitative measuring or gauging

Definitions

  • the present invention relates to a motion classification device.
  • Motion sensor systems exist in numerous forms and are implemented in many applications.
  • Apple's computer has implemented a Sudden Motion Sensor (SMS) in their notebook computer system which is a motion-based hardware and data protection system.
  • SMS uses a triaxial accelerometer to detect sudden acceleration (for example when the computer is dropped) and prepares the relatively fragile hard disk drive mechanism for impact. The system then disengages the hard disk drive heads from the, hard disk platters, preventing data loss and drive damage from a disk head crash. The drive resumes its normal operation when the SMS detects that the computer is stable again.
  • SMS Sudden Motion Sensor
  • motion detection system Another form of motion sensor system, more commonly referred to as a motion detection system, is often applied to sense the presence of an intruder within a defined area.
  • a motion detection system usually includes motion detection devices that are sensitive to infra-red radiation as it is propagated by objects, such as the human or other animal bodies. These bodies cause the motion detection devices to trigger an alarm when the movement of such a body is passed from one area of detection to another area of detection.
  • the present invention discloses a motion classification device that is suitable for implementation in many applications.
  • the device could be implemented as part of monitoring equipment for monitoring mechanical motion and diagnosing any faults in engines of vehicles.
  • the device could also be used for monitoring stationary engines including pumps and generators used in power stations.
  • Another possible use of a motion classification device is for monitoring behaviour of animals in the wild.
  • One further example is to implement the motion classification device in a cargo container security system.
  • the motion classification device can be implemented to classify different modes of transport of a cargo container so as to identify any potential threats to or theft of such a container.
  • Cargo containers are commonly used for shipping large quantities of goods from one country to another. Cargo container based shipping is viewed as vulnerable to theft. Theft of and tampering with such shipping containers is a significant source of lost revenue to shippers and merchants.
  • the International Cargo Security Council (ICSC) has estimated about $60 billion worth of cargo is stolen each year.
  • ISC International Cargo Security Council
  • US2005231365 relates to a battery operated cable security seal for securing the door of a cargo container using a stranded metal cable which includes monitoring electronics for monitoring the locked and tampered states of the cable.
  • the monitoring electronics in this case is an RFID tag transmission device which transmits a fault condition (that is when an intruder tries to break the seal) to a host administrator.
  • WO2004083078 is directed to a cargo transport system which prevents access to or operation of the container unless the container has been transported to a prescribed location.
  • the cargo transport system contains a lock and a sensor that respectively lock and sense the environment surrounding the contents and/or of the cargo transport container.
  • the lock and sensor are in communication with a remote monitoring location where appropriate responses can be directed to breaches in cargo transport security or in the cargo environment.
  • WO2004022434 discloses a detector disposed within a container, the detector being capable of detecting deviations that could be indicative of possible security threats.
  • a communication device is also disposed within the container housing. The communication device is capable of transmitting possible threat information to a central cargo data collection location.
  • a motion classification device comprising sensor means for monitoring movements of a targeted object, said sensor means being operable to output motion signals based on said monitored movements, processing means for processing said motion signals, said processing means being operable to compare said processed motion signals with a set of predetermined values such that an event of said targeted object being moved from a first mode of operation to a second mode of operation can be detected by determining the difference between said processed motion signals and said set of predetermined values.
  • said first mode of operation is any one of:
  • the second mode of operation may be any other mode which excludes said first mode of operation.
  • said sensor means includes at least one multiple-axis motion sensor.
  • Said multiple-axis motion sensor may comprise a plurality of axis-specific motion sensors, the axis-specific motion sensors being orthogonally positioned relative to each other.
  • the motion sensor may be any one of: i. an accelerometer in an inertial measurement unit; ii. a gyroscope in an inertial measurement unit; and iii. an accelerometer in a vibration unit.
  • said processing means includes input terminals connected to said multiple- axis motion sensor, said processing means being operable to receive said motion signals from each motion sensor independently.
  • said processing means is operable to sample said motion signals received from said multiple-axis motion sensor into a block of signal samples for each axis.
  • said processing means is further operable to generate a spectral magnitude of vector signals for at least one frequency component based on said block of signal samples from each axis.
  • said processing means is further operable to generate a set of classification coefficients based on said generated spectral magnitude of vector signals.
  • said processing means is further operable to determine statistics of said output motion signals over a period of time.
  • the classification coefficients may be any one of: i. a set of general spectral classification coefficients; ii. a set of general spectral modulation classification coefficients; and iii. a set of determined statistics of said output motion signals.
  • Said set of predetermined values may be any one of: i. a set of fixed predetermined values; and ii. a range of predetermined values.
  • Said processing means may be operable to further process said classification coefficients.
  • Said processing means may be operable to perform a pre-alert routine when said set of classification coefficients is not equivalent to said set of fixed predetermined values.
  • Said pre-alert routine may include recording temporal and/or spatial information of said motion classification device.
  • Said processing means may be operable to trigger an alert signal when said set of classification coefficients is not within said range of predetermined values.
  • a motion classification device comprising sensor means for monitoring movements of a targeted object, sensor means being operable to output motion signals based on said monitored movements, a processing means for processing motion signals, and to determine statistics of said motion signals over a period of time when said motion classification device is in a first mode of operation, wherein said processing means is further operable to compare said processed motion signals with said determined statistics of said motion signals such that an event of said targeted object being moved from a first mode of operation to a second mode of operation can be detected by determining the difference between said processed motion signals and said determined statistics of said motion signals.
  • a cargo container including a motion classification device as defined in any of the statements set out above.
  • a method of retrofitting a targeted object with a motion classification device comprising the steps of installing movement monitoring means for monitoring movement of said targeted object, and configuring a processing means operable to determine change in monitored movement such that an event of said targeted object being moved from a first mode of operation to a second mode of operation can be detected.
  • Figure 1 illustrates an overview of a motion classification device implementation in accordance with an embodiment of the present invention
  • Figure 2 illustrates a schematic diagram of a motion classification device in accordance with an embodiment of the present invention
  • Figure 3 illustrates a three-axis sensor in accordance with an embodiment of the present invention
  • Figure 4 illustrates the steps of processing motion signals and generating classification coefficients in accordance with an embodiment of the present invention.
  • Figure 5 illustrates the steps of processing motion signals and generating classification coefficients in accordance with an alternative embodiment of the present invention.
  • FIG. 1 An overview of the implementation 10 of a motion classification device 14 in accordance with an embodiment of the present invention is illustrated in Figure 1.
  • a cargo container 12 having a motion classification device 14 fitted therein is shown.
  • Figure 1 illustrates the situation when the cargo container 12 is being stolen and transferred from one mode of transport (a truck 16) to another mode of transport (a ship 18).
  • the motion classification device 14 continuously monitors any changes in motion of the cargo container 12, and triggers an alert signal if it detects such a change.
  • the alert signal may be an audible burglar alarm on board the cargo container 12.
  • a communication unit may also be used to communicate with a remote monitoring base 20 to alert the security guard that the cargo container 12 has been moved or transferred from its present location.
  • the fact that an alert signal has been triggered, together with other relevant information can be stored into a mass storage device. This information may be useful to the owner or the criminal investigation authority when the container is recovered.
  • the motion classification device 14 will now be described in more detail with respect to Figures 2 to 5.
  • FIG. 2 shows schematically the components of the motion classification device 14 described above.
  • the motion classification device 14 includes a sensor system 141 , a microcontroller 143, including an Input/Output (I/O) interface 144, a communication unit 145, a working memory 148, a processor 147, a mass storage unit 146, and an alert system 150.
  • I/O Input/Output
  • a sensor system 141 is provided at the input of the motion classification device 14 to monitor movements of the cargo container 12.
  • the sensor system 141 takes the form of a three-axis motion sensor 160.
  • the three-axis motion sensor 160 comprises three independent motion sensors 162, 164, 166 positioned orthogonally relative to each other.
  • each motion sensor includes an Inertial Measurement Unit (IMU) (not shown) for providing direct measures of acceleration of an axis and rate of rotation about the same axis.
  • IMU Inertial Measurement Unit
  • MEMS Micro-Electro-Mechanical System
  • a vibration unit (not shown) is also implemented to provide a direct measure of acceleration along three orthogonal axes.
  • the main difference between the accelerometers in the vibration unit and those in the IMU is that the vibration unit accelerometers respond to vibrations at a higher frequency than those in the IMU.
  • the outputs of the sensor system 141 are connected to the signal processor 147 via the I/O interface 144 of the microcontroller 143. By this connection, the measured motion signals can be input to the signal processor 147.
  • the I/O interface 144 also includes an analogue-to-digital converter (ADC) (not shown) which converts the analogue output signals from the sensor system 141 into digital input signals.
  • ADC analogue-to-digital converter
  • the signal processor 147 is operable to execute machine code instructions stored in a working memory 148 and/or retrievable from a mass storage unit 146.
  • the signal processor 147 processes the incoming signals in accordance with the method described in the forthcoming paragraphs. For clarity, a flow diagram is also included in Figure 4.
  • the spectral magnitude of a signal is determined by considering the samples of the three orthogonal components of a three-axis sensor measurement and is denoted by the vector sample sequence:
  • the magnitude signal will contain components at both the fundamental frequency and twice the fundamental frequency.
  • step S14 of Figure 4 the input signals for each axis of the sensor are read separately. This is achieved by loop function found in step S 18, as illustrated. As noted in step S 16, these signals are also processed separately.
  • DFT Discrete Fourier Transform
  • the signals for the three-axis sensor could also be processed in parallel.
  • the inner loop function found in step Sl 8 of Figure 4 can be eliminated.
  • step S20 the spectral magnitude of the vector signal s(n) at the frequency corresponding to DFT cell m is calculated
  • the "display" will simply be a set of classification coefficients to be compared with a set of predetermined values so as to identify the current mode of transport and to detect whether the current mode of transport has changed from its initial mode of transport.
  • the spectrogram information is used to identify the mode of transport of a vehicle on which the motion sensors are mounted.
  • the spectrogram will show features that tend to be either constant or periodic over time.
  • a further stage of processing is thus provided, namely to take the spectrum of the intensity in each frequency cell.
  • the "modulation spectrum" at time no is given by
  • the signal processor compares the coefficients derived from the above equations with a set of predetermined values.
  • the set of predetermined values may be (1) a fixed set of predetermined values, and/or (2) a range of predetermined values. If the set of classification coefficients is not equal or close to the fixed set of predetermined values, or in other words the mode of transport of the container has changed from its initial mode of transport, the signal processor 147 will then record the temporal and spatial information of the motion classification device at which the mode of transport has changed.
  • the signal processor checks whether the coefficients fall within the predetermined range of values. If the set of coefficients is not within the range of predetermined values, the signal processor 147 will then send a signal through the I/O interface 144 to the alert system 150. Alternatively, the signal processor 147 may send a signal to the communication unit 145 which in turn sends a signal to the remote monitoring base 20.
  • the set of predetermined values can also be updated during normal operation of the motion classification device 14. This can be achieved by transmitting an updated set of predetermined values from a remote source to the motion classification device 14.
  • the motion classification device 14 receives the updated predetermined values via the communication unit 145 which in turns passes the updated predetermined values to the mass storage unit 146 so as to update the currently stored predetermined values.
  • the statistics of the three-axis sensor output waveforms is also included to aid the classification process.
  • the skewness ⁇ 3 * is defined as
  • further processing of the derived coefficients may be performed prior to the step of comparing the derived coefficients with the set of predetermined values.
  • further processing may include, but is not limited to, a filtering process, determining a confidence interval between the derived coefficients and the predetermined values, and scaling the derived coefficients in the frequency domain and/or time domain.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Burglar Alarm Systems (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

La présente invention concerne un appareil de classification de déplacement 14 comprenant un moyen de détection 141 destiné à surveiller les déplacements d'un objet ciblé, ledit moyen de détection 141 ayant pour fonction de générer des signaux de déplacement basés sur lesdits déplacements surveillés, un moyen de traitement 147 destiné à traiter lesdits signaux de déplacement, ledit moyen de traitement ayant pour fonction de comparer lesdits signaux de déplacement traités à un jeu de valeurs prédéterminées de telle sorte qu'un évènement dudit objet ciblé 12 se déplaçant d'un premier mode de fonctionnement à un second mode de fonctionnement peut être détecté en déterminant la différence entre lesdits signaux de déplacement traités et ledit jeu de valeurs prédéterminées.
PCT/EP2008/053126 2007-03-28 2008-03-14 Appareil de classification de déplacement WO2008116767A2 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US12/521,378 US20100171628A1 (en) 2007-03-28 2008-03-14 Motion Classification Device
US14/069,274 US20140058701A1 (en) 2007-03-28 2013-10-31 Motion Classification Device

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB0706005.6A GB2447940B (en) 2007-03-28 2007-03-28 A motion classification device
GB0706005.6 2007-03-28

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US12/521,378 A-371-Of-International US20100171628A1 (en) 2007-03-28 2008-03-14 Motion Classification Device
US14/069,274 Continuation US20140058701A1 (en) 2007-03-28 2013-10-31 Motion Classification Device

Publications (2)

Publication Number Publication Date
WO2008116767A2 true WO2008116767A2 (fr) 2008-10-02
WO2008116767A3 WO2008116767A3 (fr) 2009-02-12

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2008/053126 WO2008116767A2 (fr) 2007-03-28 2008-03-14 Appareil de classification de déplacement

Country Status (3)

Country Link
US (2) US20100171628A1 (fr)
GB (1) GB2447940B (fr)
WO (1) WO2008116767A2 (fr)

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Also Published As

Publication number Publication date
WO2008116767A3 (fr) 2009-02-12
US20140058701A1 (en) 2014-02-27
US20100171628A1 (en) 2010-07-08
GB0706005D0 (en) 2007-05-09
GB2447940A (en) 2008-10-01
GB2447940B (en) 2012-04-04

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